Age identification method based on integrated convolution neural network

A convolutional neural network and neural network technology, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as difficult face age feature expression, heavy workload, and affecting face age recognition effects , to achieve the effect of improving the accuracy of age recognition, improving the accuracy, and high accuracy of age recognition

Inactive Publication Date: 2017-01-04
SOUTH CHINA UNIV OF TECH
View PDF4 Cites 26 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this process relies heavily on the experience of human experts and requires repeated experiments to complete. Not only is the workload heavy, but it is also difficult to find an optimal expression of face age features, which affects the effect of face age recognition.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Age identification method based on integrated convolution neural network
  • Age identification method based on integrated convolution neural network
  • Age identification method based on integrated convolution neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0039] This embodiment discloses an age identification method based on an integrated convolutional neural network, the steps are as follows:

[0040] S1. Obtain the training subset in the age recognition training database and expand it to obtain the expanded training subset; select M convolutional neural network classifiers obtained through the above-mentioned expanded training subset training as the base classification In this step, the base classifier acquisition process is as follows:

[0041] S11. Dividing the age recognition training database into a training set and a verification set; wherein the age recognition training database includes face images and age categories corresponding to each face image;

[0042] S12. Perform N times of random replacement sampling on the training set to obtain N training subsets; where N may range from 5 to 500.

[0043] S13, using the image transformation method to automatically expand the N training subsets obtained in step S12, and obt...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an age identification method based on an integrated convolution neural network. The method includes following steps: S1, obtaining and expanding training sub-sets in an age identification training database, obtaining the expanded training sub-sets, and selecting M convolution neural network classifiers obtained by training of the expanded training sub-sets as base classifiers; S2, obtaining a to-be-tested face image; and S3, inputting the to-be-tested face image into M base classifiers obtained in step S1 during a test, fusing age categories output by M base classifiers, and obtaining a final age category. According to the method, the accuracy of age identification is high, the dependency on people by age feature extraction of the face image is reduced, ages of a variety of people can be estimated, and the application is wide.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an age recognition method based on an integrated convolutional neural network. Background technique [0002] Face age recognition is a computer vision technology that extracts the age characteristics of the face image based on the collected face image, processes and analyzes it using computer image processing and other related technologies, and judges the age category of the face image. The problem of age identification has broad application prospects in academic research and commercial applications. For example, for adult entertainment venues such as bars, Internet cafes or private clubs, the age identification system can prohibit minors under the age of 18 from entering; for the sale of cigarettes Hejiu vending machines can obtain the age category of customers in real time by installing real-time cameras, and refuse to provide services for selling tobacco and alcohol t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06V40/178G06V40/161G06N3/045G06F18/24133
Inventor 文贵华李怀
Owner SOUTH CHINA UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap